lr: 0.001
sub_1:Test (Best Model) - Loss: 0.2106 - Accuracy: 0.9688 - F1: 0.9680
sub_1:Test (Best Model) - Loss: 6.1128 - Accuracy: 0.8750 - F1: 0.8730
sub_1:Test (Best Model) - Loss: 6.7591 - Accuracy: 0.8125 - F1: 0.8125
sub_1:Test (Best Model) - Loss: 4.4849 - Accuracy: 0.9375 - F1: 0.9373
sub_1:Test (Best Model) - Loss: 7.1664 - Accuracy: 0.8750 - F1: 0.8750
sub_1:Test (Best Model) - Loss: 0.8300 - Accuracy: 0.9697 - F1: 0.9696
sub_1:Test (Best Model) - Loss: 16.3352 - Accuracy: 0.9697 - F1: 0.9692
sub_1:Test (Best Model) - Loss: 17.8427 - Accuracy: 0.8485 - F1: 0.8390
sub_1:Test (Best Model) - Loss: 8.9744 - Accuracy: 0.8485 - F1: 0.8390
sub_1:Test (Best Model) - Loss: 1.1680 - Accuracy: 0.9394 - F1: 0.9389
sub_1:Test (Best Model) - Loss: 2.0013 - Accuracy: 0.9688 - F1: 0.9685
sub_1:Test (Best Model) - Loss: 5.1836 - Accuracy: 0.9062 - F1: 0.9062
sub_1:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_1:Test (Best Model) - Loss: 14.8821 - Accuracy: 0.9062 - F1: 0.9015
sub_1:Test (Best Model) - Loss: 0.8961 - Accuracy: 0.9062 - F1: 0.9054
sub_2:Test (Best Model) - Loss: 32.4535 - Accuracy: 0.6364 - F1: 0.5417
sub_2:Test (Best Model) - Loss: 9.4495 - Accuracy: 0.8788 - F1: 0.8778
sub_2:Test (Best Model) - Loss: 20.1243 - Accuracy: 0.5455 - F1: 0.4995
sub_2:Test (Best Model) - Loss: 10.7129 - Accuracy: 0.8182 - F1: 0.8036
sub_2:Test (Best Model) - Loss: 10.4775 - Accuracy: 0.7576 - F1: 0.7519
sub_2:Test (Best Model) - Loss: 4.0552 - Accuracy: 0.7500 - F1: 0.7229
sub_2:Test (Best Model) - Loss: 33.4760 - Accuracy: 0.5938 - F1: 0.5589
sub_2:Test (Best Model) - Loss: 11.3871 - Accuracy: 0.5625 - F1: 0.5333
sub_2:Test (Best Model) - Loss: 4.6119 - Accuracy: 0.7188 - F1: 0.7117
sub_2:Test (Best Model) - Loss: 11.6559 - Accuracy: 0.6562 - F1: 0.6476
sub_2:Test (Best Model) - Loss: 6.4246 - Accuracy: 0.7879 - F1: 0.7664
sub_2:Test (Best Model) - Loss: 24.8450 - Accuracy: 0.7273 - F1: 0.6857
sub_2:Test (Best Model) - Loss: 8.2389 - Accuracy: 0.8788 - F1: 0.8759
sub_2:Test (Best Model) - Loss: 19.2139 - Accuracy: 0.7273 - F1: 0.6997
sub_2:Test (Best Model) - Loss: 17.5125 - Accuracy: 0.7576 - F1: 0.7462
sub_3:Test (Best Model) - Loss: 16.7316 - Accuracy: 0.6250 - F1: 0.6235
sub_3:Test (Best Model) - Loss: 17.9549 - Accuracy: 0.6562 - F1: 0.5883
sub_3:Test (Best Model) - Loss: 8.3680 - Accuracy: 0.6250 - F1: 0.5636
sub_3:Test (Best Model) - Loss: 7.5453 - Accuracy: 0.7188 - F1: 0.7185
sub_3:Test (Best Model) - Loss: 8.2647 - Accuracy: 0.6250 - F1: 0.6250
sub_3:Test (Best Model) - Loss: 5.3509 - Accuracy: 0.6061 - F1: 0.6002
sub_3:Test (Best Model) - Loss: 7.3390 - Accuracy: 0.7273 - F1: 0.7179
sub_3:Test (Best Model) - Loss: 13.5373 - Accuracy: 0.6364 - F1: 0.6333
sub_3:Test (Best Model) - Loss: 31.5759 - Accuracy: 0.5455 - F1: 0.3529
sub_3:Test (Best Model) - Loss: 11.1361 - Accuracy: 0.5152 - F1: 0.5038
sub_3:Test (Best Model) - Loss: 53.0579 - Accuracy: 0.4848 - F1: 0.4063
sub_3:Test (Best Model) - Loss: 14.3515 - Accuracy: 0.4848 - F1: 0.4829
sub_3:Test (Best Model) - Loss: 8.8995 - Accuracy: 0.4848 - F1: 0.4829
sub_3:Test (Best Model) - Loss: 20.1019 - Accuracy: 0.5758 - F1: 0.4653
sub_3:Test (Best Model) - Loss: 11.3605 - Accuracy: 0.5455 - F1: 0.5387
sub_4:Test (Best Model) - Loss: 6.1483 - Accuracy: 0.8788 - F1: 0.8759
sub_4:Test (Best Model) - Loss: 10.8854 - Accuracy: 0.8485 - F1: 0.8390
sub_4:Test (Best Model) - Loss: 18.2411 - Accuracy: 0.8182 - F1: 0.8036
sub_4:Test (Best Model) - Loss: 7.3420 - Accuracy: 0.8485 - F1: 0.8433
sub_4:Test (Best Model) - Loss: 15.4466 - Accuracy: 0.8485 - F1: 0.8390
sub_4:Test (Best Model) - Loss: 30.2949 - Accuracy: 0.7576 - F1: 0.7273
sub_4:Test (Best Model) - Loss: 8.6227 - Accuracy: 0.8788 - F1: 0.8731
sub_4:Test (Best Model) - Loss: 24.3967 - Accuracy: 0.7576 - F1: 0.7273
sub_4:Test (Best Model) - Loss: 19.9344 - Accuracy: 0.7273 - F1: 0.6857
sub_4:Test (Best Model) - Loss: 16.1881 - Accuracy: 0.8788 - F1: 0.8731
sub_4:Test (Best Model) - Loss: 40.4601 - Accuracy: 0.4545 - F1: 0.3125
sub_4:Test (Best Model) - Loss: 10.6532 - Accuracy: 0.7576 - F1: 0.7556
sub_4:Test (Best Model) - Loss: 15.8252 - Accuracy: 0.7576 - F1: 0.7574
sub_4:Test (Best Model) - Loss: 16.0800 - Accuracy: 0.8788 - F1: 0.8731
sub_4:Test (Best Model) - Loss: 16.4336 - Accuracy: 0.8182 - F1: 0.8180
sub_5:Test (Best Model) - Loss: 25.5741 - Accuracy: 0.6562 - F1: 0.5883
sub_5:Test (Best Model) - Loss: 18.3051 - Accuracy: 0.7188 - F1: 0.6946
sub_5:Test (Best Model) - Loss: 33.4252 - Accuracy: 0.5938 - F1: 0.5901
sub_5:Test (Best Model) - Loss: 17.4806 - Accuracy: 0.5625 - F1: 0.5608
sub_5:Test (Best Model) - Loss: 14.7469 - Accuracy: 0.6875 - F1: 0.6761
sub_5:Test (Best Model) - Loss: 6.1224 - Accuracy: 0.7812 - F1: 0.7758
sub_5:Test (Best Model) - Loss: 14.7272 - Accuracy: 0.5312 - F1: 0.4684
sub_5:Test (Best Model) - Loss: 11.1983 - Accuracy: 0.5000 - F1: 0.4182
sub_5:Test (Best Model) - Loss: 3.4707 - Accuracy: 0.8438 - F1: 0.8303
sub_5:Test (Best Model) - Loss: 26.6094 - Accuracy: 0.5000 - F1: 0.4182
sub_5:Test (Best Model) - Loss: 30.5798 - Accuracy: 0.6875 - F1: 0.6863
sub_5:Test (Best Model) - Loss: 12.7139 - Accuracy: 0.5312 - F1: 0.5077
sub_5:Test (Best Model) - Loss: 8.8599 - Accuracy: 0.6562 - F1: 0.6267
sub_5:Test (Best Model) - Loss: 21.1877 - Accuracy: 0.6562 - F1: 0.6476
sub_5:Test (Best Model) - Loss: 53.1981 - Accuracy: 0.5000 - F1: 0.5000
sub_6:Test (Best Model) - Loss: 9.4248 - Accuracy: 0.7500 - F1: 0.7409
sub_6:Test (Best Model) - Loss: 36.8689 - Accuracy: 0.7188 - F1: 0.6632
sub_6:Test (Best Model) - Loss: 27.4989 - Accuracy: 0.7812 - F1: 0.7519
sub_6:Test (Best Model) - Loss: 3.0460 - Accuracy: 0.7812 - F1: 0.7758
sub_6:Test (Best Model) - Loss: 26.4969 - Accuracy: 0.7500 - F1: 0.7333
sub_6:Test (Best Model) - Loss: 69.9408 - Accuracy: 0.4545 - F1: 0.4500
sub_6:Test (Best Model) - Loss: 66.1032 - Accuracy: 0.5455 - F1: 0.3529
sub_6:Test (Best Model) - Loss: 34.7523 - Accuracy: 0.5455 - F1: 0.3529
sub_6:Test (Best Model) - Loss: 51.9796 - Accuracy: 0.5455 - F1: 0.4058
sub_6:Test (Best Model) - Loss: 9.8953 - Accuracy: 0.7879 - F1: 0.7746
sub_6:Test (Best Model) - Loss: 6.6078 - Accuracy: 0.7879 - F1: 0.7664
sub_6:Test (Best Model) - Loss: 35.6728 - Accuracy: 0.7576 - F1: 0.7381
sub_6:Test (Best Model) - Loss: 16.0529 - Accuracy: 0.7879 - F1: 0.7664
sub_6:Test (Best Model) - Loss: 20.2904 - Accuracy: 0.7879 - F1: 0.7664
sub_6:Test (Best Model) - Loss: 4.7012 - Accuracy: 0.8485 - F1: 0.8433
sub_7:Test (Best Model) - Loss: 12.3020 - Accuracy: 0.7188 - F1: 0.6632
sub_7:Test (Best Model) - Loss: 8.4813 - Accuracy: 0.7500 - F1: 0.7333
sub_7:Test (Best Model) - Loss: 13.4015 - Accuracy: 0.4688 - F1: 0.4555
sub_7:Test (Best Model) - Loss: 2.3385 - Accuracy: 0.8438 - F1: 0.8436
sub_7:Test (Best Model) - Loss: 9.8267 - Accuracy: 0.6562 - F1: 0.6102
sub_7:Test (Best Model) - Loss: 22.3503 - Accuracy: 0.6562 - F1: 0.5883
sub_7:Test (Best Model) - Loss: 27.0233 - Accuracy: 0.6250 - F1: 0.5000
sub_7:Test (Best Model) - Loss: 22.4596 - Accuracy: 0.4688 - F1: 0.4231
sub_7:Test (Best Model) - Loss: 25.1715 - Accuracy: 0.6250 - F1: 0.6235
sub_7:Test (Best Model) - Loss: 6.3773 - Accuracy: 0.7188 - F1: 0.7163
sub_7:Test (Best Model) - Loss: 10.0744 - Accuracy: 0.6250 - F1: 0.6000
sub_7:Test (Best Model) - Loss: 11.7152 - Accuracy: 0.6875 - F1: 0.6135
sub_7:Test (Best Model) - Loss: 10.0712 - Accuracy: 0.6875 - F1: 0.6135
sub_7:Test (Best Model) - Loss: 37.0290 - Accuracy: 0.7812 - F1: 0.7625
sub_7:Test (Best Model) - Loss: 15.7490 - Accuracy: 0.5625 - F1: 0.5556
sub_8:Test (Best Model) - Loss: 1.3705 - Accuracy: 0.9375 - F1: 0.9352
sub_8:Test (Best Model) - Loss: 31.9518 - Accuracy: 0.7500 - F1: 0.7460
sub_8:Test (Best Model) - Loss: 9.2210 - Accuracy: 0.9062 - F1: 0.9015
sub_8:Test (Best Model) - Loss: 17.0350 - Accuracy: 0.8750 - F1: 0.8667
sub_8:Test (Best Model) - Loss: 28.3592 - Accuracy: 0.7812 - F1: 0.7519
sub_8:Test (Best Model) - Loss: 1.2365 - Accuracy: 0.9375 - F1: 0.9352
sub_8:Test (Best Model) - Loss: 4.8821 - Accuracy: 0.9688 - F1: 0.9680
sub_8:Test (Best Model) - Loss: 22.1640 - Accuracy: 0.8438 - F1: 0.8303
sub_8:Test (Best Model) - Loss: 9.6180 - Accuracy: 0.8750 - F1: 0.8667
sub_8:Test (Best Model) - Loss: 8.2972 - Accuracy: 0.8438 - F1: 0.8359
sub_8:Test (Best Model) - Loss: 9.8283 - Accuracy: 0.9062 - F1: 0.9015
sub_8:Test (Best Model) - Loss: 2.2651 - Accuracy: 0.9062 - F1: 0.9054
sub_8:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 9.6418 - Accuracy: 0.8750 - F1: 0.8667
sub_8:Test (Best Model) - Loss: 4.1853 - Accuracy: 0.9375 - F1: 0.9352
sub_9:Test (Best Model) - Loss: 0.8207 - Accuracy: 0.9062 - F1: 0.9015
sub_9:Test (Best Model) - Loss: 1.2391 - Accuracy: 0.9062 - F1: 0.9015
sub_9:Test (Best Model) - Loss: 8.0139 - Accuracy: 0.8438 - F1: 0.8303
sub_9:Test (Best Model) - Loss: 26.5592 - Accuracy: 0.8125 - F1: 0.7922
sub_9:Test (Best Model) - Loss: 3.3028 - Accuracy: 0.9688 - F1: 0.9680
sub_9:Test (Best Model) - Loss: 6.1681 - Accuracy: 0.8750 - F1: 0.8667
sub_9:Test (Best Model) - Loss: 17.0067 - Accuracy: 0.7812 - F1: 0.7625
sub_9:Test (Best Model) - Loss: 20.7095 - Accuracy: 0.6875 - F1: 0.6863
sub_9:Test (Best Model) - Loss: 121.5239 - Accuracy: 0.4375 - F1: 0.4000
sub_9:Test (Best Model) - Loss: 128.1451 - Accuracy: 0.5312 - F1: 0.4910
sub_9:Test (Best Model) - Loss: 2.3821 - Accuracy: 0.9062 - F1: 0.9015
sub_9:Test (Best Model) - Loss: 2.6441 - Accuracy: 0.9062 - F1: 0.9015
sub_9:Test (Best Model) - Loss: 27.8910 - Accuracy: 0.7500 - F1: 0.7460
sub_9:Test (Best Model) - Loss: 8.9397 - Accuracy: 0.8125 - F1: 0.7922
sub_9:Test (Best Model) - Loss: 5.2002 - Accuracy: 0.9062 - F1: 0.9039
sub_10:Test (Best Model) - Loss: 4.1051 - Accuracy: 0.8750 - F1: 0.8667
sub_10:Test (Best Model) - Loss: 4.1099 - Accuracy: 0.7812 - F1: 0.7793
sub_10:Test (Best Model) - Loss: 2.6243 - Accuracy: 0.9062 - F1: 0.9062
sub_10:Test (Best Model) - Loss: 23.5349 - Accuracy: 0.6875 - F1: 0.6135
sub_10:Test (Best Model) - Loss: 16.8225 - Accuracy: 0.7812 - F1: 0.7519
sub_10:Test (Best Model) - Loss: 15.7016 - Accuracy: 0.7188 - F1: 0.7163
sub_10:Test (Best Model) - Loss: 7.6882 - Accuracy: 0.7812 - F1: 0.7703
sub_10:Test (Best Model) - Loss: 10.8627 - Accuracy: 0.7188 - F1: 0.6946
sub_10:Test (Best Model) - Loss: 9.1845 - Accuracy: 0.7812 - F1: 0.7519
sub_10:Test (Best Model) - Loss: 32.0354 - Accuracy: 0.6875 - F1: 0.6537
sub_10:Test (Best Model) - Loss: 24.1472 - Accuracy: 0.6667 - F1: 0.6459
sub_10:Test (Best Model) - Loss: 18.8272 - Accuracy: 0.6970 - F1: 0.6898
sub_10:Test (Best Model) - Loss: 20.1215 - Accuracy: 0.7576 - F1: 0.7273
sub_10:Test (Best Model) - Loss: 14.3768 - Accuracy: 0.6970 - F1: 0.6591
sub_10:Test (Best Model) - Loss: 27.2947 - Accuracy: 0.7273 - F1: 0.6997
sub_11:Test (Best Model) - Loss: 53.9200 - Accuracy: 0.4242 - F1: 0.3660
sub_11:Test (Best Model) - Loss: 38.6429 - Accuracy: 0.3636 - F1: 0.3419
sub_11:Test (Best Model) - Loss: 21.9785 - Accuracy: 0.4848 - F1: 0.4527
sub_11:Test (Best Model) - Loss: 43.4405 - Accuracy: 0.4545 - F1: 0.4288
sub_11:Test (Best Model) - Loss: 22.9481 - Accuracy: 0.4545 - F1: 0.4417
sub_11:Test (Best Model) - Loss: 28.4044 - Accuracy: 0.5455 - F1: 0.4058
sub_11:Test (Best Model) - Loss: 10.9169 - Accuracy: 0.5758 - F1: 0.5558
sub_11:Test (Best Model) - Loss: 13.1909 - Accuracy: 0.6061 - F1: 0.4850
sub_11:Test (Best Model) - Loss: 19.6507 - Accuracy: 0.5455 - F1: 0.3529
sub_11:Test (Best Model) - Loss: 7.3377 - Accuracy: 0.6364 - F1: 0.5417
sub_11:Test (Best Model) - Loss: 9.8043 - Accuracy: 0.6970 - F1: 0.6827
sub_11:Test (Best Model) - Loss: 29.4266 - Accuracy: 0.6061 - F1: 0.4850
sub_11:Test (Best Model) - Loss: 15.0906 - Accuracy: 0.6364 - F1: 0.5417
sub_11:Test (Best Model) - Loss: 25.2417 - Accuracy: 0.5758 - F1: 0.4653
sub_11:Test (Best Model) - Loss: 53.3694 - Accuracy: 0.5455 - F1: 0.3529
sub_12:Test (Best Model) - Loss: 8.5441 - Accuracy: 0.7500 - F1: 0.7229
sub_12:Test (Best Model) - Loss: 1.9364 - Accuracy: 0.9062 - F1: 0.9015
sub_12:Test (Best Model) - Loss: 10.3737 - Accuracy: 0.8438 - F1: 0.8359
sub_12:Test (Best Model) - Loss: 12.2261 - Accuracy: 0.8750 - F1: 0.8667
sub_12:Test (Best Model) - Loss: 9.2427 - Accuracy: 0.8750 - F1: 0.8667
sub_12:Test (Best Model) - Loss: 3.8484 - Accuracy: 0.7576 - F1: 0.7462
sub_12:Test (Best Model) - Loss: 4.7005 - Accuracy: 0.7576 - F1: 0.7462
sub_12:Test (Best Model) - Loss: 3.5291 - Accuracy: 0.8788 - F1: 0.8731
sub_12:Test (Best Model) - Loss: 16.6443 - Accuracy: 0.6667 - F1: 0.5935
sub_12:Test (Best Model) - Loss: 25.6550 - Accuracy: 0.7879 - F1: 0.7664
sub_12:Test (Best Model) - Loss: 12.0600 - Accuracy: 0.8750 - F1: 0.8704
sub_12:Test (Best Model) - Loss: 18.3491 - Accuracy: 0.6562 - F1: 0.5594
sub_12:Test (Best Model) - Loss: 12.2319 - Accuracy: 0.7500 - F1: 0.7460
sub_12:Test (Best Model) - Loss: 32.3469 - Accuracy: 0.7500 - F1: 0.7091
sub_12:Test (Best Model) - Loss: 14.5178 - Accuracy: 0.7812 - F1: 0.7758
sub_13:Test (Best Model) - Loss: 10.9878 - Accuracy: 0.7188 - F1: 0.6632
sub_13:Test (Best Model) - Loss: 5.0335 - Accuracy: 0.9062 - F1: 0.9054
sub_13:Test (Best Model) - Loss: 0.5013 - Accuracy: 0.9688 - F1: 0.9680
sub_13:Test (Best Model) - Loss: 10.1258 - Accuracy: 0.8125 - F1: 0.8125
sub_13:Test (Best Model) - Loss: 0.4056 - Accuracy: 0.9688 - F1: 0.9680
sub_13:Test (Best Model) - Loss: 30.5840 - Accuracy: 0.6970 - F1: 0.6413
sub_13:Test (Best Model) - Loss: 4.4348 - Accuracy: 0.8788 - F1: 0.8759
sub_13:Test (Best Model) - Loss: 7.3211 - Accuracy: 0.8485 - F1: 0.8479
sub_13:Test (Best Model) - Loss: 14.1476 - Accuracy: 0.6364 - F1: 0.6278
sub_13:Test (Best Model) - Loss: 20.3963 - Accuracy: 0.8788 - F1: 0.8787
sub_13:Test (Best Model) - Loss: 21.2051 - Accuracy: 0.7812 - F1: 0.7793
sub_13:Test (Best Model) - Loss: 7.0107 - Accuracy: 0.7500 - F1: 0.7409
sub_13:Test (Best Model) - Loss: 5.9425 - Accuracy: 0.7500 - F1: 0.7490
sub_13:Test (Best Model) - Loss: 1.9449 - Accuracy: 0.9688 - F1: 0.9685
sub_13:Test (Best Model) - Loss: 13.4966 - Accuracy: 0.7500 - F1: 0.7500
sub_14:Test (Best Model) - Loss: 11.5936 - Accuracy: 0.6562 - F1: 0.6476
sub_14:Test (Best Model) - Loss: 1.7159 - Accuracy: 0.9062 - F1: 0.9039
sub_14:Test (Best Model) - Loss: 7.9299 - Accuracy: 0.7188 - F1: 0.7117
sub_14:Test (Best Model) - Loss: 12.3269 - Accuracy: 0.8438 - F1: 0.8436
sub_14:Test (Best Model) - Loss: 4.9843 - Accuracy: 0.9062 - F1: 0.9054
sub_14:Test (Best Model) - Loss: 15.4359 - Accuracy: 0.7500 - F1: 0.7091
sub_14:Test (Best Model) - Loss: 5.9711 - Accuracy: 0.8125 - F1: 0.7922
sub_14:Test (Best Model) - Loss: 6.9218 - Accuracy: 0.8750 - F1: 0.8667
sub_14:Test (Best Model) - Loss: 0.2084 - Accuracy: 0.9688 - F1: 0.9680
sub_14:Test (Best Model) - Loss: 3.7242 - Accuracy: 0.8750 - F1: 0.8730
sub_14:Test (Best Model) - Loss: 5.9354 - Accuracy: 0.9375 - F1: 0.9365
sub_14:Test (Best Model) - Loss: 1.6926 - Accuracy: 0.9375 - F1: 0.9373
sub_14:Test (Best Model) - Loss: 8.3355 - Accuracy: 0.8438 - F1: 0.8398
sub_14:Test (Best Model) - Loss: 11.9699 - Accuracy: 0.7500 - F1: 0.7460
sub_14:Test (Best Model) - Loss: 2.4363 - Accuracy: 0.8750 - F1: 0.8704
sub_15:Test (Best Model) - Loss: 9.7397 - Accuracy: 0.8125 - F1: 0.8000
sub_15:Test (Best Model) - Loss: 30.2000 - Accuracy: 0.8438 - F1: 0.8303
sub_15:Test (Best Model) - Loss: 5.2742 - Accuracy: 0.8125 - F1: 0.8118
sub_15:Test (Best Model) - Loss: 9.8825 - Accuracy: 0.8750 - F1: 0.8667
sub_15:Test (Best Model) - Loss: 8.8517 - Accuracy: 0.7188 - F1: 0.7185
sub_15:Test (Best Model) - Loss: 5.8048 - Accuracy: 0.9688 - F1: 0.9685
sub_15:Test (Best Model) - Loss: 9.3978 - Accuracy: 0.7500 - F1: 0.7091
sub_15:Test (Best Model) - Loss: 2.4606 - Accuracy: 0.8750 - F1: 0.8745
sub_15:Test (Best Model) - Loss: 3.1981 - Accuracy: 0.8438 - F1: 0.8424
sub_15:Test (Best Model) - Loss: 0.0410 - Accuracy: 0.9688 - F1: 0.9680
sub_15:Test (Best Model) - Loss: 121.3860 - Accuracy: 0.4688 - F1: 0.4231
sub_15:Test (Best Model) - Loss: 35.4957 - Accuracy: 0.5000 - F1: 0.4459
sub_15:Test (Best Model) - Loss: 93.3026 - Accuracy: 0.4375 - F1: 0.3043
sub_15:Test (Best Model) - Loss: 11.6175 - Accuracy: 0.6250 - F1: 0.6250
sub_15:Test (Best Model) - Loss: 38.3527 - Accuracy: 0.6250 - F1: 0.5362
sub_16:Test (Best Model) - Loss: 19.9281 - Accuracy: 0.4688 - F1: 0.4231
sub_16:Test (Best Model) - Loss: 18.9635 - Accuracy: 0.6250 - F1: 0.6235
sub_16:Test (Best Model) - Loss: 11.9864 - Accuracy: 0.5000 - F1: 0.4667
sub_16:Test (Best Model) - Loss: 5.9524 - Accuracy: 0.7188 - F1: 0.7185
sub_16:Test (Best Model) - Loss: 19.5024 - Accuracy: 0.5625 - F1: 0.5625
sub_16:Test (Best Model) - Loss: 20.7354 - Accuracy: 0.6250 - F1: 0.6190
sub_16:Test (Best Model) - Loss: 18.3041 - Accuracy: 0.7188 - F1: 0.7163
sub_16:Test (Best Model) - Loss: 15.5327 - Accuracy: 0.6250 - F1: 0.6000
sub_16:Test (Best Model) - Loss: 20.4113 - Accuracy: 0.7188 - F1: 0.6811
sub_16:Test (Best Model) - Loss: 17.0533 - Accuracy: 0.7188 - F1: 0.7163
sub_16:Test (Best Model) - Loss: 10.2931 - Accuracy: 0.5000 - F1: 0.4667
sub_16:Test (Best Model) - Loss: 28.0163 - Accuracy: 0.5000 - F1: 0.4182
sub_16:Test (Best Model) - Loss: 30.9192 - Accuracy: 0.5625 - F1: 0.3600
sub_16:Test (Best Model) - Loss: 8.7734 - Accuracy: 0.5938 - F1: 0.5901
sub_16:Test (Best Model) - Loss: 11.8937 - Accuracy: 0.4688 - F1: 0.4682
sub_17:Test (Best Model) - Loss: 21.8350 - Accuracy: 0.6061 - F1: 0.5926
sub_17:Test (Best Model) - Loss: 25.3040 - Accuracy: 0.6364 - F1: 0.5417
sub_17:Test (Best Model) - Loss: 32.9106 - Accuracy: 0.6667 - F1: 0.6159
sub_17:Test (Best Model) - Loss: 9.1383 - Accuracy: 0.7879 - F1: 0.7806
sub_17:Test (Best Model) - Loss: 12.0326 - Accuracy: 0.4545 - F1: 0.4540
sub_17:Test (Best Model) - Loss: 41.5410 - Accuracy: 0.5758 - F1: 0.5227
sub_17:Test (Best Model) - Loss: 13.5815 - Accuracy: 0.4545 - F1: 0.4288
sub_17:Test (Best Model) - Loss: 11.6605 - Accuracy: 0.6667 - F1: 0.5935
sub_17:Test (Best Model) - Loss: 16.7204 - Accuracy: 0.6970 - F1: 0.6413
sub_17:Test (Best Model) - Loss: 48.0886 - Accuracy: 0.5152 - F1: 0.4545
sub_17:Test (Best Model) - Loss: 9.9452 - Accuracy: 0.7188 - F1: 0.7046
sub_17:Test (Best Model) - Loss: 8.6468 - Accuracy: 0.6562 - F1: 0.6476
sub_17:Test (Best Model) - Loss: 39.7077 - Accuracy: 0.5938 - F1: 0.5901
sub_17:Test (Best Model) - Loss: 40.0925 - Accuracy: 0.5625 - F1: 0.5466
sub_17:Test (Best Model) - Loss: 16.5797 - Accuracy: 0.7188 - F1: 0.6946
sub_18:Test (Best Model) - Loss: 35.1637 - Accuracy: 0.6667 - F1: 0.6459
sub_18:Test (Best Model) - Loss: 10.5048 - Accuracy: 0.7273 - F1: 0.7179
sub_18:Test (Best Model) - Loss: 10.7217 - Accuracy: 0.6667 - F1: 0.6654
sub_18:Test (Best Model) - Loss: 26.6245 - Accuracy: 0.7576 - F1: 0.7273
sub_18:Test (Best Model) - Loss: 5.6496 - Accuracy: 0.9091 - F1: 0.9060
sub_18:Test (Best Model) - Loss: 11.1794 - Accuracy: 0.8125 - F1: 0.7922
sub_18:Test (Best Model) - Loss: 1.0482 - Accuracy: 0.9375 - F1: 0.9373
sub_18:Test (Best Model) - Loss: 9.6580 - Accuracy: 0.7500 - F1: 0.7091
sub_18:Test (Best Model) - Loss: 27.3388 - Accuracy: 0.7500 - F1: 0.7229
sub_18:Test (Best Model) - Loss: 41.4880 - Accuracy: 0.7812 - F1: 0.7519
sub_18:Test (Best Model) - Loss: 8.2888 - Accuracy: 0.8750 - F1: 0.8667
sub_18:Test (Best Model) - Loss: 7.7740 - Accuracy: 0.9062 - F1: 0.9054
sub_18:Test (Best Model) - Loss: 8.3651 - Accuracy: 0.8750 - F1: 0.8667
sub_18:Test (Best Model) - Loss: 8.8326 - Accuracy: 0.9062 - F1: 0.9015
sub_18:Test (Best Model) - Loss: 2.8538 - Accuracy: 0.8750 - F1: 0.8667
sub_19:Test (Best Model) - Loss: 30.0378 - Accuracy: 0.6250 - F1: 0.5000
sub_19:Test (Best Model) - Loss: 2.6140 - Accuracy: 0.9062 - F1: 0.9015
sub_19:Test (Best Model) - Loss: 10.1754 - Accuracy: 0.6562 - F1: 0.6102
sub_19:Test (Best Model) - Loss: 23.2511 - Accuracy: 0.5625 - F1: 0.5608
sub_19:Test (Best Model) - Loss: 45.9206 - Accuracy: 0.7500 - F1: 0.7091
sub_19:Test (Best Model) - Loss: 30.4508 - Accuracy: 0.5625 - F1: 0.3600
sub_19:Test (Best Model) - Loss: 30.9990 - Accuracy: 0.7188 - F1: 0.6632
sub_19:Test (Best Model) - Loss: 9.6351 - Accuracy: 0.7812 - F1: 0.7793
sub_19:Test (Best Model) - Loss: 17.0580 - Accuracy: 0.7188 - F1: 0.7117
sub_19:Test (Best Model) - Loss: 63.9820 - Accuracy: 0.6562 - F1: 0.5594
sub_19:Test (Best Model) - Loss: 44.7303 - Accuracy: 0.4375 - F1: 0.3043
sub_19:Test (Best Model) - Loss: 22.5769 - Accuracy: 0.4688 - F1: 0.3976
sub_19:Test (Best Model) - Loss: 5.7490 - Accuracy: 0.8125 - F1: 0.7922
sub_19:Test (Best Model) - Loss: 53.4589 - Accuracy: 0.4688 - F1: 0.3976
sub_19:Test (Best Model) - Loss: 85.7869 - Accuracy: 0.5625 - F1: 0.5466
sub_20:Test (Best Model) - Loss: 6.0360 - Accuracy: 0.7500 - F1: 0.7490
sub_20:Test (Best Model) - Loss: 4.3429 - Accuracy: 0.7812 - F1: 0.7758
sub_20:Test (Best Model) - Loss: 23.1295 - Accuracy: 0.7812 - F1: 0.7758
sub_20:Test (Best Model) - Loss: 21.0387 - Accuracy: 0.7188 - F1: 0.7117
sub_20:Test (Best Model) - Loss: 12.8920 - Accuracy: 0.7812 - F1: 0.7625
sub_20:Test (Best Model) - Loss: 18.8087 - Accuracy: 0.5938 - F1: 0.5733
sub_20:Test (Best Model) - Loss: 11.8179 - Accuracy: 0.7812 - F1: 0.7810
sub_20:Test (Best Model) - Loss: 10.5602 - Accuracy: 0.6562 - F1: 0.6267
sub_20:Test (Best Model) - Loss: 16.7714 - Accuracy: 0.7500 - F1: 0.7091
sub_20:Test (Best Model) - Loss: 10.6564 - Accuracy: 0.8438 - F1: 0.8303
sub_20:Test (Best Model) - Loss: 10.5597 - Accuracy: 0.7273 - F1: 0.7179
sub_20:Test (Best Model) - Loss: 18.7694 - Accuracy: 0.5455 - F1: 0.5438
sub_20:Test (Best Model) - Loss: 10.5081 - Accuracy: 0.6667 - F1: 0.6330
sub_20:Test (Best Model) - Loss: 75.6764 - Accuracy: 0.6061 - F1: 0.5662
sub_20:Test (Best Model) - Loss: 15.6628 - Accuracy: 0.8182 - F1: 0.8036
sub_21:Test (Best Model) - Loss: 26.3674 - Accuracy: 0.4062 - F1: 0.3267
sub_21:Test (Best Model) - Loss: 29.3588 - Accuracy: 0.4062 - F1: 0.4010
sub_21:Test (Best Model) - Loss: 29.5464 - Accuracy: 0.5312 - F1: 0.3992
sub_21:Test (Best Model) - Loss: 41.2903 - Accuracy: 0.5312 - F1: 0.3992
sub_21:Test (Best Model) - Loss: 33.0573 - Accuracy: 0.5312 - F1: 0.5308
sub_21:Test (Best Model) - Loss: 12.9822 - Accuracy: 0.3750 - F1: 0.3651
sub_21:Test (Best Model) - Loss: 17.1022 - Accuracy: 0.5000 - F1: 0.4667
sub_21:Test (Best Model) - Loss: 24.6438 - Accuracy: 0.3438 - F1: 0.3379
sub_21:Test (Best Model) - Loss: 17.7533 - Accuracy: 0.4062 - F1: 0.3267
sub_21:Test (Best Model) - Loss: 10.0462 - Accuracy: 0.4375 - F1: 0.4353
sub_21:Test (Best Model) - Loss: 27.0537 - Accuracy: 0.5938 - F1: 0.5393
sub_21:Test (Best Model) - Loss: 14.0816 - Accuracy: 0.3125 - F1: 0.3098
sub_21:Test (Best Model) - Loss: 72.3540 - Accuracy: 0.4375 - F1: 0.3455
sub_21:Test (Best Model) - Loss: 15.6728 - Accuracy: 0.4375 - F1: 0.3766
sub_21:Test (Best Model) - Loss: 13.0015 - Accuracy: 0.4688 - F1: 0.4421
sub_22:Test (Best Model) - Loss: 6.0817 - Accuracy: 0.8750 - F1: 0.8704
sub_22:Test (Best Model) - Loss: 13.8675 - Accuracy: 0.8125 - F1: 0.8118
sub_22:Test (Best Model) - Loss: 14.8281 - Accuracy: 0.7812 - F1: 0.7519
sub_22:Test (Best Model) - Loss: 71.0705 - Accuracy: 0.6562 - F1: 0.5594
sub_22:Test (Best Model) - Loss: 3.2864 - Accuracy: 0.9375 - F1: 0.9352
sub_22:Test (Best Model) - Loss: 13.0378 - Accuracy: 0.7273 - F1: 0.6857
sub_22:Test (Best Model) - Loss: 17.7474 - Accuracy: 0.7576 - F1: 0.7273
sub_22:Test (Best Model) - Loss: 11.1517 - Accuracy: 0.7273 - F1: 0.6857
sub_22:Test (Best Model) - Loss: 6.9374 - Accuracy: 0.7576 - F1: 0.7462
sub_22:Test (Best Model) - Loss: 5.1585 - Accuracy: 0.8485 - F1: 0.8485
sub_22:Test (Best Model) - Loss: 4.6817 - Accuracy: 0.9375 - F1: 0.9352
sub_22:Test (Best Model) - Loss: 10.1350 - Accuracy: 0.7812 - F1: 0.7810
sub_22:Test (Best Model) - Loss: 14.8978 - Accuracy: 0.8125 - F1: 0.8000
sub_22:Test (Best Model) - Loss: 90.4312 - Accuracy: 0.4375 - F1: 0.3455
sub_22:Test (Best Model) - Loss: 86.1416 - Accuracy: 0.4688 - F1: 0.3637
sub_23:Test (Best Model) - Loss: 8.9311 - Accuracy: 0.7879 - F1: 0.7664
sub_23:Test (Best Model) - Loss: 1.7072 - Accuracy: 0.9394 - F1: 0.9380
sub_23:Test (Best Model) - Loss: 0.9419 - Accuracy: 0.9394 - F1: 0.9380
sub_23:Test (Best Model) - Loss: 8.0230 - Accuracy: 0.7879 - F1: 0.7664
sub_23:Test (Best Model) - Loss: 22.5588 - Accuracy: 0.7576 - F1: 0.7273
sub_23:Test (Best Model) - Loss: 17.8319 - Accuracy: 0.6250 - F1: 0.6000
sub_23:Test (Best Model) - Loss: 25.6778 - Accuracy: 0.6562 - F1: 0.6476
sub_23:Test (Best Model) - Loss: 5.6020 - Accuracy: 0.8438 - F1: 0.8398
sub_23:Test (Best Model) - Loss: 32.3978 - Accuracy: 0.4688 - F1: 0.3637
sub_23:Test (Best Model) - Loss: 31.6364 - Accuracy: 0.6250 - F1: 0.6000
sub_23:Test (Best Model) - Loss: 12.4925 - Accuracy: 0.8182 - F1: 0.8036
sub_23:Test (Best Model) - Loss: 2.4008 - Accuracy: 0.9394 - F1: 0.9380
sub_23:Test (Best Model) - Loss: 1.3809 - Accuracy: 0.9394 - F1: 0.9380
sub_23:Test (Best Model) - Loss: 6.9049 - Accuracy: 0.8485 - F1: 0.8390
sub_23:Test (Best Model) - Loss: 22.0740 - Accuracy: 0.8182 - F1: 0.8096
sub_24:Test (Best Model) - Loss: 14.8679 - Accuracy: 0.5625 - F1: 0.5608
sub_24:Test (Best Model) - Loss: 17.8816 - Accuracy: 0.6562 - F1: 0.6102
sub_24:Test (Best Model) - Loss: 18.3885 - Accuracy: 0.4688 - F1: 0.3637
sub_24:Test (Best Model) - Loss: 12.2263 - Accuracy: 0.4688 - F1: 0.4555
sub_24:Test (Best Model) - Loss: 10.8321 - Accuracy: 0.5000 - F1: 0.4667
sub_24:Test (Best Model) - Loss: 8.3075 - Accuracy: 0.7188 - F1: 0.7185
sub_24:Test (Best Model) - Loss: 6.5159 - Accuracy: 0.6875 - F1: 0.6761
sub_24:Test (Best Model) - Loss: 13.3876 - Accuracy: 0.5625 - F1: 0.5152
sub_24:Test (Best Model) - Loss: 5.2120 - Accuracy: 0.6562 - F1: 0.6532
sub_24:Test (Best Model) - Loss: 10.2197 - Accuracy: 0.5625 - F1: 0.5466
sub_24:Test (Best Model) - Loss: 10.4924 - Accuracy: 0.6562 - F1: 0.6102
sub_24:Test (Best Model) - Loss: 7.6371 - Accuracy: 0.5625 - F1: 0.5152
sub_24:Test (Best Model) - Loss: 10.6616 - Accuracy: 0.5312 - F1: 0.5195
sub_24:Test (Best Model) - Loss: 7.5215 - Accuracy: 0.5938 - F1: 0.5901
sub_24:Test (Best Model) - Loss: 16.9200 - Accuracy: 0.6562 - F1: 0.6476
sub_25:Test (Best Model) - Loss: 37.3023 - Accuracy: 0.5152 - F1: 0.3889
sub_25:Test (Best Model) - Loss: 9.9790 - Accuracy: 0.4545 - F1: 0.4500
sub_25:Test (Best Model) - Loss: 9.1792 - Accuracy: 0.6970 - F1: 0.6827
sub_25:Test (Best Model) - Loss: 10.7583 - Accuracy: 0.6667 - F1: 0.6553
sub_25:Test (Best Model) - Loss: 7.6226 - Accuracy: 0.6667 - F1: 0.6667
sub_25:Test (Best Model) - Loss: 4.2333 - Accuracy: 0.7500 - F1: 0.7333
sub_25:Test (Best Model) - Loss: 8.5936 - Accuracy: 0.7500 - F1: 0.7229
sub_25:Test (Best Model) - Loss: 17.3329 - Accuracy: 0.5312 - F1: 0.4684
sub_25:Test (Best Model) - Loss: 5.8438 - Accuracy: 0.6875 - F1: 0.6863
sub_25:Test (Best Model) - Loss: 31.1787 - Accuracy: 0.5938 - F1: 0.4340
sub_25:Test (Best Model) - Loss: 13.6096 - Accuracy: 0.6562 - F1: 0.6267
sub_25:Test (Best Model) - Loss: 11.0041 - Accuracy: 0.6875 - F1: 0.6537
sub_25:Test (Best Model) - Loss: 13.3956 - Accuracy: 0.6875 - F1: 0.6135
sub_25:Test (Best Model) - Loss: 9.2050 - Accuracy: 0.7500 - F1: 0.7229
sub_25:Test (Best Model) - Loss: 2.7636 - Accuracy: 0.7812 - F1: 0.7810
sub_26:Test (Best Model) - Loss: 2.4933 - Accuracy: 0.9394 - F1: 0.9389
sub_26:Test (Best Model) - Loss: 1.4780 - Accuracy: 0.9091 - F1: 0.9060
sub_26:Test (Best Model) - Loss: 4.4707 - Accuracy: 0.9394 - F1: 0.9380
sub_26:Test (Best Model) - Loss: 14.9392 - Accuracy: 0.6667 - F1: 0.5935
sub_26:Test (Best Model) - Loss: 1.6741 - Accuracy: 0.9091 - F1: 0.9060
sub_26:Test (Best Model) - Loss: 32.7441 - Accuracy: 0.5938 - F1: 0.5836
sub_26:Test (Best Model) - Loss: 5.8210 - Accuracy: 0.8125 - F1: 0.8057
sub_26:Test (Best Model) - Loss: 2.9406 - Accuracy: 0.9062 - F1: 0.9062
sub_26:Test (Best Model) - Loss: 53.4622 - Accuracy: 0.4375 - F1: 0.3043
sub_26:Test (Best Model) - Loss: 4.6580 - Accuracy: 0.8438 - F1: 0.8424
sub_26:Test (Best Model) - Loss: 12.9121 - Accuracy: 0.9375 - F1: 0.9352
sub_26:Test (Best Model) - Loss: 5.3711 - Accuracy: 0.9062 - F1: 0.9015
sub_26:Test (Best Model) - Loss: 4.2756 - Accuracy: 0.9688 - F1: 0.9680
sub_26:Test (Best Model) - Loss: 3.2653 - Accuracy: 0.9062 - F1: 0.9015
sub_26:Test (Best Model) - Loss: 7.2051 - Accuracy: 0.9688 - F1: 0.9680
sub_27:Test (Best Model) - Loss: 21.8350 - Accuracy: 0.6061 - F1: 0.5926
sub_27:Test (Best Model) - Loss: 25.3040 - Accuracy: 0.6364 - F1: 0.5417
sub_27:Test (Best Model) - Loss: 32.9106 - Accuracy: 0.6667 - F1: 0.6159
sub_27:Test (Best Model) - Loss: 9.1383 - Accuracy: 0.7879 - F1: 0.7806
sub_27:Test (Best Model) - Loss: 12.0326 - Accuracy: 0.4545 - F1: 0.4540
sub_27:Test (Best Model) - Loss: 41.5410 - Accuracy: 0.5758 - F1: 0.5227
sub_27:Test (Best Model) - Loss: 13.5815 - Accuracy: 0.4545 - F1: 0.4288
sub_27:Test (Best Model) - Loss: 11.6605 - Accuracy: 0.6667 - F1: 0.5935
sub_27:Test (Best Model) - Loss: 16.7204 - Accuracy: 0.6970 - F1: 0.6413
sub_27:Test (Best Model) - Loss: 48.0886 - Accuracy: 0.5152 - F1: 0.4545
sub_27:Test (Best Model) - Loss: 9.9452 - Accuracy: 0.7188 - F1: 0.7046
sub_27:Test (Best Model) - Loss: 8.6468 - Accuracy: 0.6562 - F1: 0.6476
sub_27:Test (Best Model) - Loss: 39.7077 - Accuracy: 0.5938 - F1: 0.5901
sub_27:Test (Best Model) - Loss: 40.0925 - Accuracy: 0.5625 - F1: 0.5466
sub_27:Test (Best Model) - Loss: 16.5797 - Accuracy: 0.7188 - F1: 0.6946
sub_28:Test (Best Model) - Loss: 2.9727 - Accuracy: 0.9062 - F1: 0.9062
sub_28:Test (Best Model) - Loss: 5.0342 - Accuracy: 0.6250 - F1: 0.6235
sub_28:Test (Best Model) - Loss: 7.3148 - Accuracy: 0.5312 - F1: 0.5308
sub_28:Test (Best Model) - Loss: 44.6455 - Accuracy: 0.4688 - F1: 0.3637
sub_28:Test (Best Model) - Loss: 43.7876 - Accuracy: 0.3750 - F1: 0.3074
sub_28:Test (Best Model) - Loss: 27.8006 - Accuracy: 0.5938 - F1: 0.5733
sub_28:Test (Best Model) - Loss: 67.3390 - Accuracy: 0.3750 - F1: 0.3522
sub_28:Test (Best Model) - Loss: 30.5179 - Accuracy: 0.5938 - F1: 0.5393
sub_28:Test (Best Model) - Loss: 20.4070 - Accuracy: 0.5312 - F1: 0.5195
sub_28:Test (Best Model) - Loss: 50.4904 - Accuracy: 0.5625 - F1: 0.5152
sub_28:Test (Best Model) - Loss: 35.5423 - Accuracy: 0.4375 - F1: 0.3455
sub_28:Test (Best Model) - Loss: 32.7059 - Accuracy: 0.3438 - F1: 0.3431
sub_28:Test (Best Model) - Loss: 28.6500 - Accuracy: 0.3125 - F1: 0.2667
sub_28:Test (Best Model) - Loss: 58.6661 - Accuracy: 0.4062 - F1: 0.3267
sub_28:Test (Best Model) - Loss: 40.4698 - Accuracy: 0.5938 - F1: 0.5135
sub_29:Test (Best Model) - Loss: 67.5510 - Accuracy: 0.8125 - F1: 0.7922
sub_29:Test (Best Model) - Loss: 22.3322 - Accuracy: 0.9375 - F1: 0.9352
sub_29:Test (Best Model) - Loss: 17.5976 - Accuracy: 0.9062 - F1: 0.9015
sub_29:Test (Best Model) - Loss: 40.0184 - Accuracy: 0.8125 - F1: 0.7922
sub_29:Test (Best Model) - Loss: 64.6207 - Accuracy: 0.8125 - F1: 0.7922
sub_29:Test (Best Model) - Loss: 7.6387 - Accuracy: 0.9375 - F1: 0.9352
sub_29:Test (Best Model) - Loss: 17.1469 - Accuracy: 0.9062 - F1: 0.9015
sub_29:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 4.2540 - Accuracy: 0.9375 - F1: 0.9352
sub_29:Test (Best Model) - Loss: 47.1469 - Accuracy: 0.8438 - F1: 0.8303
sub_29:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 0.6069 - Accuracy: 0.9697 - F1: 0.9692
sub_29:Test (Best Model) - Loss: 5.1169 - Accuracy: 0.9091 - F1: 0.9077
sub_29:Test (Best Model) - Loss: 3.4429 - Accuracy: 0.9394 - F1: 0.9380

=== Summary Results ===

acc: 71.45 ± 12.01
F1: 68.67 ± 13.43
acc-in: 86.68 ± 9.03
F1-in: 85.09 ± 10.57
